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code generation

699 papers

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Also known as

NL2CODE CG

Co-occurring keywords

large language model (12755) benchmark evaluation (1539) program synthesis (231) language model (4573) question answering (2904) semantic parsing (955) in-context learning (1369) multi-agent system (1743) tabular datum (221) retrieval-augmented generation (1459)

Papers

nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow ACL 2025
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling ACL 2025
SynFix: Dependency-Aware Program Repair via RelationGraph Analysis ACL 2025
Large Language Models for Predictive Analysis: How Far Are They? ACL 2025
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation EMNLP 2025
UnitCoder: Scalable Code Synthesis from Pre-training Corpora EMNLP 2025
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences ACL 2025
mHumanEval - A Multilingual Benchmark to Evaluate Large Language Models for Code Generation NAACL 2025
Self-play through Computational Runtimes improves Chart Reasoning ACL 2025
HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation Task ACL 2025
DependEval: Benchmarking LLMs for Repository Dependency Understanding ACL 2025
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA ACL 2025
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability ACL 2025
PROMTEC: Fast LLM Inference Decoding using Prompt Multi-Lookup with Template Database and Common Sequences ACL 2025
SBU-NLP at SemEval-2025 Task 8: Self-Correction and Collaboration in LLMs for Tabular Question Answering ACL 2025
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding ACL 2025
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025
ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs’ Capability via Chart Editing ACL 2025
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding ACL 2025
SEK: Self-Explained Keywords Empower Large Language Models for Code Generation ACL 2025
Howard University-AI4PC at SemEval-2025 Task 8: DeepTabCoder - Code-based Retrieval and In-context Learning for Question-Answering over Tabular Data SEMEVAL 2025
Core Intelligence at SemEval-2025 Task 8: Multi-hop LLM Agent for Tabular Question Answering SEMEVAL 2025
Substance Beats Style: Why Beginning Students Fail to Code with LLMs NAACL 2025
G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data SEMEVAL 2025
SBU-NLP at SemEval-2025 Task 8: Self-Correction and Collaboration in LLMs for Tabular Question Answering SEMEVAL 2025